Articles | Volume 21, issue 2
https://doi.org/10.5194/acp-21-773-2021
https://doi.org/10.5194/acp-21-773-2021
Research article
 | 
20 Jan 2021
Research article |  | 20 Jan 2021

Time-resolved emission reductions for atmospheric chemistry modelling in Europe during the COVID-19 lockdowns

Marc Guevara, Oriol Jorba, Albert Soret, Hervé Petetin, Dene Bowdalo, Kim Serradell, Carles Tena, Hugo Denier van der Gon, Jeroen Kuenen, Vincent-Henri Peuch, and Carlos Pérez García-Pando

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AR: Author's response | RR: Referee report | ED: Editor decision
AR by Marc Guevara on behalf of the Authors (07 Nov 2020)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (16 Nov 2020) by Qiang Zhang
RR by Anonymous Referee #2 (27 Nov 2020)
ED: Publish as is (01 Dec 2020) by Qiang Zhang
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Short summary
Most European countries have imposed lockdowns to combat the spread of the COVID-19 pandemic. Such a socioeconomic disruption has resulted in a sudden drop of atmospheric emissions and air pollution levels. This study quantifies the daily reductions in national emissions and associated levels of nitrogen dioxide (NO2) due to the COVID-19 lockdowns in Europe, by making use of multiple open-access measured activity data as well as artificial intelligence and modelling techniques.
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